def getChart(self, lessonname, data):
series = QtChart.QStackedBarSeries()
for key, name, color, brush in zip(
[self.PASS, self.FAIL], ["pass", "fail"], ["green", "red"],
[QtCore.Qt.Dense1Pattern, QtCore.Qt.Dense2Pattern]):
barset = QtChart.QBarSet(name)
barset.append([d[key] for d in data])
barset.setBrush(QtGui.QBrush(QtGui.QColor(color), brush))
barset.setLabel(name)
series.append(barset)
series.setLabelsFormat("@value%")
series.setLabelsVisible(True)
chart = QtChart.QChart()
chart.addSeries(series)
chart.setTitle(lessonname)
chart.setAnimationOptions(QtChart.QChart.SeriesAnimations)
categories = [d["name"] for d in data]
axis = QtChart.QBarCategoryAxis()
axis.append(categories)
chart.setAxisX(axis, series)
axis = QtChart.QValueAxis()
axis.setMax(100)
axis.setMin(0)
chart.setAxisY(axis)
chart.legend().setVisible(True)
return chart
def createChart(
self
): # function to create a barchart similar to a time series, with each bar showing each year 1 - 10 payback value
tech = self.Tech.currentText()
series = QtChart.QBarSeries()
chart = QtChart.QChart()
axis = QtChart.QBarCategoryAxis(chart)
categories = [
cat for cat in self.data.columns.values.tolist() if 'year' in cat
]
set0 = QtChart.QBarSet('Payback')
list0 = list()
for cat in categories:
list0.append(self.data.at[tech, cat])
set0.append(list0)
series.append(set0)
#list0.clear()
#roicategories = [cat for cat in self.data.columns.values.tolist() if 'roi' in cat]
#set1 = QtChart.QBarSet('ROI')
#for cat in roicategories:
#list0.append(self.data.at[tech, cat])
#set1.append(list0)
#series.append(set1)
series.setLabelsVisible()
chart.addSeries(series)
axis.append(categories)
chart.createDefaultAxes()
chart.setAxisX(axis, series)
self.chartView.setChart(chart)
def __init__(self):
super(BarStackChart, self).__init__()
self.chart = QtChart.QChart()
self.chart.setAnimationOptions(QtChart.QChart.SeriesAnimations) # 动态渲染
self.x_category = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']
series_names = ['视频广告', '直接访问', '搜索引擎']
series = QtChart.QBarSeries()
for name in series_names:
bar = QtChart.QBarSet(name)
for _ in range(len(self.x_category)):
bar.append(random.randint(1, 101))
series.append(bar)
# 鼠标悬停信号
bar.hovered.connect(self.bar_hovered)
self.chart.addSeries(series)
self.chart.createDefaultAxes()
# 设置x轴
axis_x = QtChart.QBarCategoryAxis()
axis_x.append(self.x_category)
self.chart.setAxisX(axis_x, series)
# 设置图例
legend = self.chart.legend()
legend.setCursor(Qt.PointingHandCursor) # 鼠标悬停图例为手形
for marker in legend.markers():
# 点击事件
marker.clicked.connect(self.legend_clicked)
# 悬停事件
marker.hovered.connect(self.legend_hovered)
self.setChart(self.chart)
def calculate_graph(self):
""" Calculate the Bar graph for the selected SKU's from database.
"""
if self.show_graph:
bar_set_1, bar_set_2 = self.get_graph_point()
series = QtChart.QStackedBarSeries()
series.append(bar_set_1)
series.append(bar_set_2)
chart = QtChart.QChart()
chart.setTitle("Good and Bad")
chart.addSeries(series)
chart.setAnimationOptions(QtChart.QChart.SeriesAnimations)
x_axis = QtChart.QBarCategoryAxis()
x_axis.append(constants.TIME_VALUES[:-1])
chart.addAxis(x_axis, QtCore.Qt.AlignBottom)
series.attachAxis(x_axis)
y_axis = QtChart.QValueAxis()
chart.addAxis(y_axis, QtCore.Qt.AlignLeft)
series.attachAxis(y_axis)
chart.legend().setVisible(True)
chart.legend().setAlignment(QtCore.Qt.AlignBottom)
chart_view = QtChart.QChartView(chart)
chart_view.setRenderHint(QtGui.QPainter.Antialiasing)
return chart_view
def showBewertungsScreen(self, bewertungen, maxWert):
# Andere Fenster schließen
self.LoginWindow.close()
self.VorlesungWindow.close()
# Vorlesungsfenster erstellen
self.BewertungsWindow.setMinimumHeight(480)
self.BewertungsWindow.setMinimumWidth(800)
self.BewertungsWindow.showFullScreen()
#Layout festlegen
layout = QtWidgets.QGridLayout()
#Sets erstellen (unterteilt nach Noten)
self.set = QtChart.QBarSet('Gut')
self.set1 = QtChart.QBarSet('Okay')
self.set2 = QtChart.QBarSet('Zu Langsam')
self.set3 = QtChart.QBarSet('Zu Schnell')
self.set4 = QtChart.QBarSet('Zu Kompliziert')
self.set.append(bewertungen[0])
self.set1.append(bewertungen[1])
self.set2.append(bewertungen[2])
self.set3.append(bewertungen[3])
self.set4.append(bewertungen[4])
#Einzelne Graphen erstellen und mit Sets verknüpfen
self.series = QtChart.QBarSeries()
self.series.append(self.set)
self.series.append(self.set1)
self.series.append(self.set2)
self.series.append(self.set3)
self.series.append(self.set4)
#Chart initialiseren und Start Animation festlegen
self.chart = QtChart.QChart()
self.chart.addSeries(self.series)
self.chart.setTitle("Bewertungen")
self.chart.setAnimationOptions(QtChart.QChart.SeriesAnimations)
#Achsen erstellen und formatieren
achseX = QtChart.QBarCategoryAxis()
achseY = QtChart.QValueAxis()
achseY.setRange(0, maxWert)
#Ansicht zusammenstellen und anzeigen
self.chart.addAxis(achseX, QtCore.Qt.AlignBottom)
self.chart.addAxis(achseY, QtCore.Qt.AlignLeft)
self.chart.legend().setVisible(True)
self.chart.legend().setAlignment(QtCore.Qt.AlignBottom)
chartView = QtChart.QChartView(self.chart)
layout.addWidget(chartView)
self.BewertungsWindow.setLayout(layout)
self.BewertungsWindow.show()
self.logikReThread = LogikRestart()
self.logikReThread.signalRestart.connect(self.showLoginScreen)
self.logikReThread.start()
def __init__(self):
super().__init__()
chart = qtch.QChart(title=self.chart_title)
self.setChart(chart)
series = qtch.QBarSeries()
chart.addSeries(series)
bar_set = qtch.QBarSet('Percent Used')
series.append(bar_set)
partitions = []
bar_set.append(20)
x_axis = qtch.QBarCategoryAxis()
x_axis.append(partitions)
chart.setAxisX(x_axis)
series.attachAxis(x_axis)
y_axis = qtch.QValueAxis()
y_axis.setRange(0, 100)
chart.setAxisY(y_axis)
series.attachAxis(y_axis)
series.setLabelsVisible(True)
def showChart(
self
): # function to show the chart of data of user selected tech and attribute on QChartView
file1 = self.techselector1.currentText()
current_building1, current_tech1 = file1.split(' - ')
current_buildingI1, current_buildingI2, current_techI1, current_techI2 = 0, 0, 0, 0
for index, file in enumerate(self.fl):
if file.building_name == current_building1:
current_buildingI1 = index
file2 = self.techselector2.currentText()
current_building2, current_tech2 = file2.split(' - ')
for index, file in enumerate(self.fl):
if file.building_name == current_building2:
current_buildingI2 = index
att = self.attselector.currentText(
) # assign user selected texts from drop down lists to parameters
series = QtChart.QBarSeries(
) # the lines below creates the bar chart with the 2 tech selected as the categories (x-axis) with data from
chart = QtChart.QChart(
) # filelist dfSumDiff (summary of sum of each attributes in all dataframes)
axis = QtChart.QBarCategoryAxis(chart)
categories = [file1, file2]
if att != 'Sum':
set0 = QtChart.QBarSet(
att
) # use only the user-specified attribute sum value attained from dataframe as one set of bars
set0.append([
self.fl[current_buildingI1].dfSumDiff.at[file1, att],
self.fl[current_buildingI2].dfSumDiff.at[file2, att]
])
series.append(set0)
else:
for cat in self.cl.cl: # add different set of bars for different category total
set0 = QtChart.QBarSet(att + '(' + cat.name + ')')
df_temp = self.fl[current_buildingI1].dfSumDiff[
self.fl[current_buildingI1].dfSumDiff.columns.intersection(
cat.members)]
if current_buildingI1 != current_buildingI2:
df_temp = df_temp.append(
self.fl[current_buildingI2].dfSumDiff[self.fl[
current_buildingI2].dfSumDiff.columns.intersection(
cat.members)])
if cat.name != 'Cooling load':
df_temp = df_temp.T.append(df_temp.loc[:, [
col for col in df_temp.columns if 'DX' not in col
]].sum(axis='columns').to_frame(
).T) # add the sum of the category as a new column
else:
df_temp = df_temp.T.append(df_temp.loc[:, [
'Ap Sys chillers load (kWh)',
'ApHVAC chillers load (kWh)'
]].sum(axis='columns').to_frame().T)
df_temp.rename({0: 'Sum'}, axis='index', inplace=True)
df_temp = df_temp.T
set0.append(
[df_temp.at[file1, 'Sum'], df_temp.at[file2, 'Sum']])
series.append(set0)
series.setLabelsVisible()
chart.addSeries(series)
axis.append(categories)
chart.createDefaultAxes()
chart.setAxisX(axis, series)
self.chartView.setChart(chart)
